Introduction to Computational Cancer Biology

Not quite what I expected from the description, but there is material here.

I read this over a couple of weekends alongside a small side project, which turned out to be the ideal way to approach it. A couple of chapters felt like they could have been merged, but that is a minor complaint. The author is unusually honest about where the simplifications break down, which I appreciated. Fine, but there are stronger books on the same subject if you look around.

Strong content, uneven pacing. I would still recommend it.

I read this over a couple of weekends alongside a small side project, which turned out to be the ideal way to approach it. The writing is direct and does not waste space on filler, which I value in a technical book. The examples are small enough to type out and experiment with, which is exactly what I want from a book like this. Some of the material is available elsewhere, but rarely presented this clearly. Solid, and I would buy another book from this author without hesitation.

Worth every page. I have already recommended it to two colleagues.

This is the third book I have read on computational biology this year, and it is comfortably the best of them. The exercises at the end of each chapter are worth doing — they caught a few misconceptions I did not know I had. The exercises at the end of each chapter are worth doing — they caught a few misconceptions I did not know I had. This is the book I wish had existed when I started working with computational biology.